{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic regression with PyMC3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As discussed in chapter 6, logistic regression estimates a linear relationship between a set of features and a binary outcome, mediated by a sigmoid function to ensure the model produces probabilities. The frequentist approach resulted in point estimates for the parameters that measure the influence of each feature on the probability that a data point belongs to the positive class, with confidence intervals based on assumptions about the parameter distribution. \n",
    "\n",
    "In contrast, Bayesian logistic regression estimates the posterior distribution over the parameters itself. The posterior allows for more robust estimates of what is called a Bayesian credible interval for each parameter with the benefit of more transparency about the model’s uncertainty."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:48.019455Z",
     "start_time": "2018-12-28T04:43:48.016278Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:48.983482Z",
     "start_time": "2018-12-28T04:43:48.025775Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from pathlib import Path\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "\n",
    "from sklearn.preprocessing import scale\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "import theano\n",
    "import pymc3 as pm\n",
    "from pymc3.variational.callbacks import CheckParametersConvergence\n",
    "import statsmodels.formula.api as smf\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import animation\n",
    "import seaborn as sns\n",
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T14:52:07.502940Z",
     "start_time": "2018-12-28T14:52:07.498115Z"
    }
   },
   "outputs": [],
   "source": [
    "data_path = Path('data')\n",
    "fig_path = Path('figures')\n",
    "model_path = Path('models')\n",
    "for p in [data_path, fig_path, model_path]:\n",
    "    if not p.exists():\n",
    "        p.mkdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use a simple dataset that classifies 30,000 individuals by income using a threshold of \\\\$50K per year and contains information on age, sex, hours worked and years of education. Hence, we are modeling the probability that an individual earns more than $50K using these features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download from UCI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:51.211860Z",
     "start_time": "2018-12-28T04:43:48.988445Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data\",\n",
    "                   header=None,\n",
    "                   names=['age', 'workclass', 'fnlwgt', 'education-categorical', 'educ',\n",
    "                          'marital-status', 'occupation', 'relationship', 'race', 'sex',\n",
    "                          'captial-gain', 'capital-loss', 'hours', 'native-country', 'income'])\n",
    "data = data.loc[~pd.isnull(data['income']) & (data['native-country'] == \" United-States\"),\n",
    "                ['income', 'age', 'educ', 'hours', 'sex']]\n",
    "data.income = (data.income.str.strip() == '>50K').astype(int)\n",
    "data.to_csv('data/income_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load from Disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:51.226672Z",
     "start_time": "2018-12-28T04:43:51.213251Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 29170 entries, 0 to 32560\n",
      "Data columns (total 5 columns):\n",
      "income    29170 non-null int64\n",
      "age       29170 non-null int64\n",
      "educ      29170 non-null int64\n",
      "hours     29170 non-null int64\n",
      "sex       29170 non-null object\n",
      "dtypes: int64(4), object(1)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "# data = pd.read_csv('data/income_data.csv')\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:51.239031Z",
     "start_time": "2018-12-28T04:43:51.228125Z"
    }
   },
   "outputs": [],
   "source": [
    "simple_model = 'income ~ hours + educ'\n",
    "full_model = 'income ~ sex + age+ I(age ** 2) + hours + educ'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quick exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:43:57.283791Z",
     "start_time": "2018-12-28T04:43:51.239885Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data.assign(\n",
    "    sex=lambda x: x.sex.str.strip().map({'Male': 1, 'Female': 0})));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MAP Inference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A probabilistic program consists of observed and unobserved random variables (RVs). As discussed, we define the observed RVs via likelihood distributions and unobserved RVs via prior distributions. PyMC3 includes numerous probability distributions for this purpose."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The PyMC3 library makes it very straightforward to perform approximate Bayesian inference for logistic regression. Logistic regression models the probability that individual i earns a high income based on k features as outlined in the below figure that uses plate notation:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Manual Model Specification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the context manager with to define a manual_logistic_model that we can refer to later as a probabilistic model:\n",
    "- The random variables for the unobserved parameters for intercept and two features are expressed using uninformative priors that assume normal distributions with mean 0 and standard deviation of 100.\n",
    "- The likelihood combines the parameters with the data according to the specification of the logistic regression\n",
    "- The outcome is modeled as a Bernoulli RV with success probability given by the likelihood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:13.860352Z",
     "start_time": "2018-12-28T04:43:57.284762Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "with pm.Model() as manual_logistic_model:\n",
    "    # random variables for coefficients with\n",
    "    # uninformative priors for each parameter\n",
    "\n",
    "    intercept = pm.Normal('intercept', 0, sd=100)\n",
    "    beta_1 = pm.Normal('beta_1', 0, sd=100)\n",
    "    beta_2 = pm.Normal('beta_2', 0, sd=100)\n",
    "\n",
    "    # Transform random variables into vector of probabilities p(y_i=1)\n",
    "    # according to logistic regression model specification.\n",
    "    likelihood = pm.invlogit(intercept + beta_1 *\n",
    "                             data.hours + beta_2 * data.educ)\n",
    "\n",
    "    # Bernoulli random vector with probability of success\n",
    "    # given by sigmoid function and actual data as observed\n",
    "    pm.Bernoulli(name='logit', p=likelihood, observed=data.income)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:14.289950Z",
     "start_time": "2018-12-28T04:44:13.861536Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$$\n",
       "            \\begin{array}{rcl}\n",
       "            \\text{intercept} &\\sim & \\text{Normal}(\\mathit{mu}=0,~\\mathit{sd}=100.0)\\\\\\text{beta_1} &\\sim & \\text{Normal}(\\mathit{mu}=0,~\\mathit{sd}=100.0)\\\\\\text{beta_2} &\\sim & \\text{Normal}(\\mathit{mu}=0,~\\mathit{sd}=100.0)\\\\\\text{logit} &\\sim & \\text{Bernoulli}(\\mathit{p}=f(f(f(),~f(f(),~f(f(f(f(f(\\text{intercept}),~f(f(\\text{beta_1}),~array)),~f(f(\\text{beta_2}),~array)))))),~f()))\n",
       "            \\end{array}\n",
       "            $$"
      ],
      "text/plain": [
       "<pymc3.model.Model at 0x7fde69322470>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manual_logistic_model.model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The command `pm.model_to_graphviz(manual_logistic_model)` produces the plate notation displayed below. \n",
    "\n",
    "It shows the unobserved parameters as light and the observed elements as dark circles. The rectangle indicates the number of repetitions of the observed model element implied by the data included in the model definition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:14.354264Z",
     "start_time": "2018-12-28T04:44:14.291179Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
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       "<!-- Generated by graphviz version 2.40.1 (20161225.0304)\n",
       " -->\n",
       "<!-- Title: %3 Pages: 1 -->\n",
       "<svg width=\"487pt\" height=\"155pt\"\n",
       " viewBox=\"0.00 0.00 486.99 155.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 151)\">\n",
       "<title>%3</title>\n",
       "<polygon fill=\"#ffffff\" stroke=\"transparent\" points=\"-4,4 -4,-151 482.9873,-151 482.9873,4 -4,4\"/>\n",
       "<g id=\"clust1\" class=\"cluster\">\n",
       "<title>cluster29,170</title>\n",
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       "<text text-anchor=\"middle\" x=\"290.4937\" y=\"-15.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">29,170</text>\n",
       "</g>\n",
       "<!-- beta_2 -->\n",
       "<g id=\"node1\" class=\"node\">\n",
       "<title>beta_2</title>\n",
       "<ellipse fill=\"none\" stroke=\"#000000\" cx=\"71.4937\" cy=\"-129\" rx=\"71.4873\" ry=\"18\"/>\n",
       "<text text-anchor=\"middle\" x=\"71.4937\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">beta_2 ~ Normal</text>\n",
       "</g>\n",
       "<!-- logit -->\n",
       "<g id=\"node4\" class=\"node\">\n",
       "<title>logit</title>\n",
       "<ellipse fill=\"#d3d3d3\" stroke=\"#000000\" cx=\"239.4937\" cy=\"-57\" rx=\"69.5877\" ry=\"18\"/>\n",
       "<text text-anchor=\"middle\" x=\"239.4937\" y=\"-53.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">logit ~ Bernoulli</text>\n",
       "</g>\n",
       "<!-- beta_2&#45;&gt;logit -->\n",
       "<g id=\"edge1\" class=\"edge\">\n",
       "<title>beta_2&#45;&gt;logit</title>\n",
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       "</g>\n",
       "<!-- intercept -->\n",
       "<g id=\"node2\" class=\"node\">\n",
       "<title>intercept</title>\n",
       "<ellipse fill=\"none\" stroke=\"#000000\" cx=\"239.4937\" cy=\"-129\" rx=\"78.7863\" ry=\"18\"/>\n",
       "<text text-anchor=\"middle\" x=\"239.4937\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">intercept ~ Normal</text>\n",
       "</g>\n",
       "<!-- intercept&#45;&gt;logit -->\n",
       "<g id=\"edge2\" class=\"edge\">\n",
       "<title>intercept&#45;&gt;logit</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M239.4937,-110.8314C239.4937,-103.131 239.4937,-93.9743 239.4937,-85.4166\"/>\n",
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       "</g>\n",
       "<!-- beta_1 -->\n",
       "<g id=\"node3\" class=\"node\">\n",
       "<title>beta_1</title>\n",
       "<ellipse fill=\"none\" stroke=\"#000000\" cx=\"407.4937\" cy=\"-129\" rx=\"71.4873\" ry=\"18\"/>\n",
       "<text text-anchor=\"middle\" x=\"407.4937\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">beta_1 ~ Normal</text>\n",
       "</g>\n",
       "<!-- beta_1&#45;&gt;logit -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>beta_1&#45;&gt;logit</title>\n",
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       "</g>\n",
       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.dot.Digraph at 0x7fde5ed65ac8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(manual_logistic_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:14.359101Z",
     "start_time": "2018-12-28T04:44:14.355408Z"
    }
   },
   "outputs": [],
   "source": [
    "graph = pm.model_to_graphviz(manual_logistic_model)\n",
    "# graph.save('figures/log_reg.dot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:31.517225Z",
     "start_time": "2018-12-28T04:44:14.360473Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "logp = -13,983, ||grad|| = 9.0944: 100%|██████████| 33/33 [00:00<00:00, 208.27it/s]  \n"
     ]
    }
   ],
   "source": [
    "with manual_logistic_model:\n",
    "    # compute maximum a-posteriori estimate\n",
    "    # for logistic regression weights\n",
    "    manual_map_estimate = pm.find_MAP()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:31.520746Z",
     "start_time": "2018-12-28T04:44:31.518321Z"
    }
   },
   "outputs": [],
   "source": [
    "def print_map(result):\n",
    "    return pd.Series({k: np.asscalar(v) for k, v in result.items()})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:31.533615Z",
     "start_time": "2018-12-28T04:44:31.521638Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept   -6.561846\n",
       "beta_1       0.040682\n",
       "beta_2       0.350388\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print_map(manual_map_estimate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GLM Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PyMC3 includes numerous common models so that we can usually leave the manual specification for custom applications. \n",
    "\n",
    "The following code defines the same logistic regression as a member of the Generalized Linear Models (GLM) family using the formula format inspired by the statistical language R and ported to python by the `patsy` library:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:38.113053Z",
     "start_time": "2018-12-28T04:44:31.534609Z"
    }
   },
   "outputs": [],
   "source": [
    "with pm.Model() as logistic_model:\n",
    "    pm.glm.GLM.from_formula(simple_model,\n",
    "                            data,\n",
    "                            family=pm.glm.families.Binomial())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:38.142733Z",
     "start_time": "2018-12-28T04:44:38.114054Z"
    }
   },
   "outputs": [
    {
     "data": {
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       " -->\n",
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       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 151)\">\n",
       "<title>%3</title>\n",
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       "<g id=\"clust1\" class=\"cluster\">\n",
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       "<title>educ</title>\n",
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       "<text text-anchor=\"middle\" x=\"64.3443\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">educ ~ Normal</text>\n",
       "</g>\n",
       "<!-- y -->\n",
       "<g id=\"node4\" class=\"node\">\n",
       "<title>y</title>\n",
       "<ellipse fill=\"#d3d3d3\" stroke=\"#000000\" cx=\"212.3443\" cy=\"-57\" rx=\"57.6901\" ry=\"18\"/>\n",
       "<text text-anchor=\"middle\" x=\"212.3443\" y=\"-53.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">y ~ Binomial</text>\n",
       "</g>\n",
       "<!-- educ&#45;&gt;y -->\n",
       "<g id=\"edge1\" class=\"edge\">\n",
       "<title>educ&#45;&gt;y</title>\n",
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       "</g>\n",
       "<!-- Intercept -->\n",
       "<g id=\"node2\" class=\"node\">\n",
       "<title>Intercept</title>\n",
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       "<text text-anchor=\"middle\" x=\"212.3443\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">Intercept ~ Flat</text>\n",
       "</g>\n",
       "<!-- Intercept&#45;&gt;y -->\n",
       "<g id=\"edge2\" class=\"edge\">\n",
       "<title>Intercept&#45;&gt;y</title>\n",
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       "<!-- hours -->\n",
       "<g id=\"node3\" class=\"node\">\n",
       "<title>hours</title>\n",
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       "<text text-anchor=\"middle\" x=\"363.3443\" y=\"-125.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">hours ~ Normal</text>\n",
       "</g>\n",
       "<!-- hours&#45;&gt;y -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>hours&#45;&gt;y</title>\n",
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       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.dot.Digraph at 0x7fde5811ac18>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(logistic_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MAP Estimate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We obtain point MAP estimates for the three parameters using the just defined model’s .find_MAP() method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:43.611203Z",
     "start_time": "2018-12-28T04:44:38.143799Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "logp = -13,982, ||grad|| = 7.2784: 100%|██████████| 33/33 [00:00<00:00, 331.06it/s]      \n"
     ]
    }
   ],
   "source": [
    "with logistic_model:\n",
    "    map_estimate = pm.find_MAP()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PyMC3 solves the optimization problem of finding the posterior point with the highest density using the quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm but offers several alternatives provided by the scipy library. The result is virtually identically to the corresponding statsmodels estimate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:43.651304Z",
     "start_time": "2018-12-28T04:44:43.612285Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.478799\n",
      "         Iterations 6\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 income   No. Observations:                29170\n",
      "Model:                          Logit   Df Residuals:                    29167\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Fri, 19 Apr 2019   Pseudo R-squ.:                  0.1415\n",
      "Time:                        00:14:02   Log-Likelihood:                -13967.\n",
      "converged:                       True   LL-Null:                       -16268.\n",
      "                                        LLR p-value:                     0.000\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -6.5619      0.094    -69.511      0.000      -6.747      -6.377\n",
      "hours          0.0407      0.001     31.511      0.000       0.038       0.043\n",
      "educ           0.3504      0.007     50.929      0.000       0.337       0.364\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "model = smf.logit(formula=simple_model, data=data)\n",
    "result = model.fit()\n",
    "print(result.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:43.658656Z",
     "start_time": "2018-12-28T04:44:43.654773Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Intercept   -6.561862\n",
       "hours        0.040681\n",
       "educ         0.350390\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print_map(map_estimate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:43.667385Z",
     "start_time": "2018-12-28T04:44:43.661242Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Intercept   -6.561860\n",
       "hours        0.040681\n",
       "educ         0.350390\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Markov Chain Monte Carlo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:43.674824Z",
     "start_time": "2018-12-28T04:44:43.668716Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_traces(traces, burnin=2000):\n",
    "    summary = pm.summary(traces[burnin:])['mean'].to_dict()\n",
    "    ax = pm.traceplot(traces[burnin:],\n",
    "                      figsize=(15, len(traces.varnames)*1.5),\n",
    "                      lines=summary)\n",
    "\n",
    "    for i, mn in enumerate(summary.values()):\n",
    "        ax[i, 0].annotate(f'{mn:.2f}', xy=(mn, 0),\n",
    "                          xycoords='data', xytext=(5, 10),\n",
    "                          textcoords='offset points',\n",
    "                          rotation=90, va='bottom',\n",
    "                          fontsize='large',\n",
    "                          color='#AA0022')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define the Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use a slightly more complicated model to illustrate Markov Chain Monte Carlo inference:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:44.400097Z",
     "start_time": "2018-12-28T04:44:43.675896Z"
    }
   },
   "outputs": [],
   "source": [
    "with pm.Model() as logistic_model:\n",
    "    pm.glm.GLM.from_formula(formula=full_model,\n",
    "                            data=data,\n",
    "                            family=pm.glm.families.Binomial())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T04:44:44.404168Z",
     "start_time": "2018-12-28T04:44:44.401173Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Intercept, sex[T. Male], age, I(age ** 2), hours, educ, y]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logistic_model.basic_RVs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Metropolis-Hastings\n",
    "We will use the Metropolis-Hastings algorithm to sample from the posterior distribution.\n",
    "\n",
    "Explore the hyperparameters of Metropolis-Hastings such as the proposal distribution variance to speed up the convergence. \n",
    "Use `plot_traces` function to visually inspect the convergence.\n",
    "\n",
    "You may also use MAP-estimate to initialize the sampling scheme to speed things up. This will make the warmup (burnin) period shorter since you will start from a probable point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T05:06:53.239589Z",
     "start_time": "2018-12-28T04:44:44.405080Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">Metropolis: [educ]\n",
      ">Metropolis: [hours]\n",
      ">Metropolis: [I(age ** 2)]\n",
      ">Metropolis: [age]\n",
      ">Metropolis: [sex[T. Male]]\n",
      ">Metropolis: [Intercept]\n",
      "Sampling 4 chains: 100%|██████████| 24000/24000 [07:32<00:00, 53.05draws/s]\n",
      "The gelman-rubin statistic is larger than 1.4 for some parameters. The sampler did not converge.\n",
      "The estimated number of effective samples is smaller than 200 for some parameters.\n"
     ]
    }
   ],
   "source": [
    "with logistic_model:\n",
    "    trace_mh = pm.sample(tune=1000,\n",
    "                         draws=5000,\n",
    "                         step=pm.Metropolis(),\n",
    "                         cores=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inspect Trace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T05:06:54.680359Z",
     "start_time": "2018-12-28T05:06:53.240963Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_traces(trace_mh, burnin=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T05:06:54.691145Z",
     "start_time": "2018-12-28T05:06:54.681292Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20000 entries, 0 to 19999\n",
      "Data columns (total 6 columns):\n",
      "Intercept       20000 non-null float64\n",
      "sex[T. Male]    20000 non-null float64\n",
      "age             20000 non-null float64\n",
      "I(age ** 2)     20000 non-null float64\n",
      "hours           20000 non-null float64\n",
      "educ            20000 non-null float64\n",
      "dtypes: float64(6)\n",
      "memory usage: 937.6 KB\n"
     ]
    }
   ],
   "source": [
    "pm.trace_to_dataframe(trace_mh).info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Continue Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:00.847629Z",
     "start_time": "2018-12-28T05:06:54.692336Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">Metropolis: [educ]\n",
      ">Metropolis: [hours]\n",
      ">Metropolis: [I(age ** 2)]\n",
      ">Metropolis: [age]\n",
      ">Metropolis: [sex[T. Male]]\n",
      ">Metropolis: [Intercept]\n",
      "Sampling 4 chains: 100%|██████████| 202000/202000 [3:05:04<00:00, 18.19draws/s]  \n",
      "The estimated number of effective samples is smaller than 200 for some parameters.\n"
     ]
    }
   ],
   "source": [
    "with logistic_model:\n",
    "    trace_mh = pm.sample(draws=50000,\n",
    "                         step=pm.Metropolis(),\n",
    "                         trace=trace_mh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.733894Z",
     "start_time": "2018-12-28T08:12:00.848939Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_traces(trace_mh, burnin=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T14:52:13.780160Z",
     "start_time": "2018-12-28T14:52:13.745318Z"
    }
   },
   "outputs": [],
   "source": [
    "with open(model_path / 'logistic_model_mh.pkl', 'wb') as buff:\n",
    "    pickle.dump({'model': logistic_model, 'trace': trace_mh}, buff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T14:52:16.491904Z",
     "start_time": "2018-12-28T14:52:15.218797Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>mc_error</th>\n",
       "      <th>hpd_2.5</th>\n",
       "      <th>hpd_97.5</th>\n",
       "      <th>n_eff</th>\n",
       "      <th>Rhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Intercept</th>\n",
       "      <td>-11.787778</td>\n",
       "      <td>1.777089</td>\n",
       "      <td>0.171152</td>\n",
       "      <td>-13.785676</td>\n",
       "      <td>-8.455286</td>\n",
       "      <td>14.010580</td>\n",
       "      <td>1.001814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex[T. Male]</th>\n",
       "      <td>1.162391</td>\n",
       "      <td>0.063885</td>\n",
       "      <td>0.004056</td>\n",
       "      <td>1.061655</td>\n",
       "      <td>1.262571</td>\n",
       "      <td>63.721624</td>\n",
       "      <td>1.003156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.205541</td>\n",
       "      <td>0.071219</td>\n",
       "      <td>0.007049</td>\n",
       "      <td>0.058355</td>\n",
       "      <td>0.287755</td>\n",
       "      <td>11.705010</td>\n",
       "      <td>1.001347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I(age ** 2)</th>\n",
       "      <td>-0.001822</td>\n",
       "      <td>0.000762</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>-0.002704</td>\n",
       "      <td>-0.000238</td>\n",
       "      <td>11.544818</td>\n",
       "      <td>1.001402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hours</th>\n",
       "      <td>0.026945</td>\n",
       "      <td>0.002992</td>\n",
       "      <td>0.000193</td>\n",
       "      <td>0.023519</td>\n",
       "      <td>0.031850</td>\n",
       "      <td>171.499129</td>\n",
       "      <td>1.000883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educ</th>\n",
       "      <td>0.338701</td>\n",
       "      <td>0.030497</td>\n",
       "      <td>0.002267</td>\n",
       "      <td>0.315937</td>\n",
       "      <td>0.365790</td>\n",
       "      <td>95.228061</td>\n",
       "      <td>1.003296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   mean        sd  mc_error    hpd_2.5  hpd_97.5       n_eff  \\\n",
       "Intercept    -11.787778  1.777089  0.171152 -13.785676 -8.455286   14.010580   \n",
       "sex[T. Male]   1.162391  0.063885  0.004056   1.061655  1.262571   63.721624   \n",
       "age            0.205541  0.071219  0.007049   0.058355  0.287755   11.705010   \n",
       "I(age ** 2)   -0.001822  0.000762  0.000075  -0.002704 -0.000238   11.544818   \n",
       "hours          0.026945  0.002992  0.000193   0.023519  0.031850  171.499129   \n",
       "educ           0.338701  0.030497  0.002267   0.315937  0.365790   95.228061   \n",
       "\n",
       "                  Rhat  \n",
       "Intercept     1.001814  \n",
       "sex[T. Male]  1.003156  \n",
       "age           1.001347  \n",
       "I(age ** 2)   1.001402  \n",
       "hours         1.000883  \n",
       "educ          1.003296  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.summary(trace_mh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NUTS sampler\n",
    "Using pm.sample without specifying a sampling method defaults to the No U-Turn Sampler, a form of Hamiltonian Monte Carlo that automatically tunes its parameters. It usually converges faster and gives less correlated samples compared to vanilla Metropolis-Hastings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Patsy’s function I() allows us to use regular python expression to create new variables on the fly, here we square age to capture the non-linear relationship that more experience adds less income later in life. \n",
    "Note that variables measured on very different scales can slow down the sampling process. Hence, we first apply sklearn’s the scale() function to standardize the variables age, hours and educ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.753015Z",
     "start_time": "2018-12-28T04:43:48.100Z"
    }
   },
   "outputs": [],
   "source": [
    "cols = ['age', 'educ', 'hours']\n",
    "data.loc[:, cols] = scale(data.loc[:, cols])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Draw small number of samples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we have defined our model as above with the new formula, we are ready to perform inference to approximate the posterior distribution. MCMC sampling algorithms are available through the pm.sample() function. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, PyMC3 automatically selects the most efficient sampler and initializes the sampling process for efficient convergence. For a continuous model, PyMC3 chooses the NUTS sampler discussed in the previous section. It also runs variational inference via ADVI to find good starting parameters for the sampler. One among several alternatives is to use the MAP estimate. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To see convergence looks like, we first draw only 100 samples after tuning the sampler for 1,000 iterations that will be discarded. The sampling process can be parallelized for multiple chains using the cores argument (except when using GPU)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.753789Z",
     "start_time": "2018-12-28T04:43:48.103Z"
    }
   },
   "outputs": [],
   "source": [
    "draws = 100\n",
    "tune = 1000\n",
    "with logistic_model:\n",
    "    trace_NUTS = pm.sample(draws=draws, tune=1000,\n",
    "                           init='adapt_diag',\n",
    "                           chains=4, cores=2,\n",
    "                           random_seed=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.754511Z",
     "start_time": "2018-12-28T04:43:48.105Z"
    }
   },
   "outputs": [],
   "source": [
    "trace_df = pm.trace_to_dataframe(trace_NUTS).assign(\n",
    "    chain=lambda x: x.index // draws)\n",
    "trace_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.755439Z",
     "start_time": "2018-12-28T04:43:48.109Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_traces(trace_NUTS, burnin=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Continue Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting trace contains the sampled values for each random variable. We can continue sampling by providing the trace of a prior run as input:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.756359Z",
     "start_time": "2018-12-28T04:43:48.112Z"
    }
   },
   "outputs": [],
   "source": [
    "draws = 25000\n",
    "with logistic_model:\n",
    "    trace_NUTS = pm.sample(draws=draws, tune=tune,\n",
    "                           init='adapt_diag',\n",
    "                           trace=trace_NUTS,\n",
    "                           chains=4, cores=2,\n",
    "                           random_seed=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Persist Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.757450Z",
     "start_time": "2018-12-28T04:43:48.114Z"
    }
   },
   "outputs": [],
   "source": [
    "with open(model_path / 'logistic_model_nuts.pkl', 'wb') as buff:\n",
    "    pickle.dump({'model': logistic_model,\n",
    "                 'trace': trace_NUTS}, buff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.758387Z",
     "start_time": "2018-12-28T04:43:48.116Z"
    }
   },
   "outputs": [],
   "source": [
    "with open(model_path / 'logistic_model_nuts.pkl', 'rb') as buff:\n",
    "    data = pickle.load(buff)  \n",
    "\n",
    "logistic_model, trace_NUTS = data['model'], data['trace']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Combine Traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.759255Z",
     "start_time": "2018-12-28T04:43:48.120Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pm.trace_to_dataframe(trace_NUTS).iloc[200:].reset_index(\n",
    "    drop=True).assign(chain=lambda x: x.index // draws)\n",
    "trace_df = pd.concat([trace_df.assign(samples=100),\n",
    "                      df.assign(samples=25000)])\n",
    "trace_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualize both traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.760210Z",
     "start_time": "2018-12-28T04:43:48.124Z"
    }
   },
   "outputs": [],
   "source": [
    "trace_df_long = pd.melt(trace_df, id_vars=['samples', 'chain'])\n",
    "trace_df_long.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.760950Z",
     "start_time": "2018-12-28T04:43:48.127Z"
    }
   },
   "outputs": [],
   "source": [
    "g = sns.FacetGrid(trace_df_long, col='variable', row='samples',\n",
    "                  hue='chain', sharex='col', sharey=False)\n",
    "g = g.map(sns.distplot, 'value', hist=False, rug=False)\n",
    "g.savefig('figures/logistic_regression_comp', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.761789Z",
     "start_time": "2018-12-28T04:43:48.130Z"
    }
   },
   "outputs": [],
   "source": [
    "model = smf.logit(formula=full_model, data=data)\n",
    "result = model.fit()\n",
    "print(result.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.762594Z",
     "start_time": "2018-12-28T04:43:48.133Z"
    }
   },
   "outputs": [],
   "source": [
    "pm.summary(trace_NUTS).assign(statsmodels=result.params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.763400Z",
     "start_time": "2018-12-28T04:43:48.135Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_traces(trace_NUTS, burnin=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computing Credible Intervals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can compute the credible intervals, the Bayesian counterpart of confidence intervals, as percentiles of the trace. The resulting boundaries reflect our confidence about the range of the parameter value for a given probability threshold, as opposed to the number of times the parameter will be within this range for a large number of trials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.764252Z",
     "start_time": "2018-12-28T04:43:48.137Z"
    }
   },
   "outputs": [],
   "source": [
    "b = trace_NUTS['sex[T. Male]']\n",
    "lb, ub = np.percentile(b, 2.5), np.percentile(b, 97.5)\n",
    "lb, ub = np.exp(lb), np.exp(ub)\n",
    "print(f'P({lb:.3f} < Odds Ratio < {ub:.3f}) = 0.95')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.765146Z",
     "start_time": "2018-12-28T04:43:48.139Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "sns.distplot(np.exp(b), axlabel='Odds Ratio', ax=ax)\n",
    "ax.set_title(f'Credible Interval: P({lb:.3f} < Odds Ratio < {ub:.3f}) = 0.95')\n",
    "ax.axvspan(lb, ub, alpha=0.5, color='gray');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variational Inference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Automatic Differentation Variational Inference (ADVI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The interface for variational inference is very similar to the MCMC implementation. We just use the fit() instead of the sample() function, with the option to include an early stopping CheckParametersConvergence callback if the distribution-fitting process converged up to a given tolerance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.766008Z",
     "start_time": "2018-12-28T04:43:48.142Z"
    }
   },
   "outputs": [],
   "source": [
    "with logistic_model:\n",
    "    callback = CheckParametersConvergence(diff='absolute')\n",
    "    approx = pm.fit(n=100000, \n",
    "                    callbacks=[callback])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Persist Result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.766869Z",
     "start_time": "2018-12-28T04:43:48.144Z"
    }
   },
   "outputs": [],
   "source": [
    "with open(model_path / 'logistic_model_advi.pkl', 'wb') as buff:\n",
    "    pickle.dump({'model': logistic_model,\n",
    "                 'approx': approx}, buff)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample from approximated distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can draw samples from the approximated distribution to obtain a trace object as above for the MCMC sampler:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.767745Z",
     "start_time": "2018-12-28T04:43:48.146Z"
    }
   },
   "outputs": [],
   "source": [
    "trace_advi = approx.sample(10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.768870Z",
     "start_time": "2018-12-28T04:43:48.148Z"
    }
   },
   "outputs": [],
   "source": [
    "pm.summary(trace_advi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.769850Z",
     "start_time": "2018-12-28T04:43:48.150Z"
    }
   },
   "outputs": [],
   "source": [
    "pm.summary(trace_advi).to_csv(model_path / 'trace_advi.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Diagnostics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bayesian model diagnostics includes validating that the sampling process has converged and consistently samples from high-probability areas of the posterior, and confirming that the model represents the data well."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For high-dimensional models with many variables, it becomes cumbersome to inspect numerous at traces. When using NUTS, the energy plot helps to assess problems of convergence. It summarizes how efficiently the random process explores the posterior. The plot shows the energy and the energy transition matrix that should be well matched as in the below example (see references for conceptual detail)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Energy Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.770790Z",
     "start_time": "2018-12-28T04:43:48.153Z"
    }
   },
   "outputs": [],
   "source": [
    "pm.energyplot(trace_NUTS)\n",
    "# plt.savefig(fig_path / 'energyplot', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Forest Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.771616Z",
     "start_time": "2018-12-28T04:43:48.155Z"
    }
   },
   "outputs": [],
   "source": [
    "pm.forestplot(trace_NUTS)\n",
    "# plt.savefig(fig_path / 'forestplot', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Posterior Predictive Checks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PPCs are very useful for examining how well a model fits the data. They do so by generating data from the model using parameters from draws from the posterior. We use the function pm.sample_ppc for this purpose and obtain n samples for each observation (the GLM module automatically names the outcome ‘y’):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.772409Z",
     "start_time": "2018-12-28T04:43:48.158Z"
    }
   },
   "outputs": [],
   "source": [
    "ppc = pm.sample_ppc(trace_NUTS, samples=500, model=logistic_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.773273Z",
     "start_time": "2018-12-28T04:43:48.160Z"
    }
   },
   "outputs": [],
   "source": [
    "ppc['y'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.774292Z",
     "start_time": "2018-12-28T04:43:48.162Z"
    }
   },
   "outputs": [],
   "source": [
    "y_score = np.mean(ppc['y'], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.775235Z",
     "start_time": "2018-12-28T04:43:48.165Z"
    }
   },
   "outputs": [],
   "source": [
    "roc_auc_score(y_score=np.mean(ppc['y'], axis=0), \n",
    "              y_true=data.income)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction\n",
    "Follows PyMC3 [docs](https://docs.pymc.io/notebooks/posterior_predictive.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predictions use theano’s shared variables to replace the training data with test data before running posterior predictive checks. To facilitate visualization, we create a variable with a single predictor hours, create the train and test datasets, and convert the former to a shared variable. Note that we need to use numpy arrays and provide a list of column labels:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train-test split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.776122Z",
     "start_time": "2018-12-28T04:43:48.167Z"
    }
   },
   "outputs": [],
   "source": [
    "data_numeric = data.assign(sex=lambda x: pd.factorize(x.sex)[0],\n",
    "                           age2=lambda x: x.age**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.777067Z",
     "start_time": "2018-12-28T04:43:48.170Z"
    }
   },
   "outputs": [],
   "source": [
    "data_numeric = data[['income', 'hours']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.777889Z",
     "start_time": "2018-12-28T04:43:48.172Z"
    }
   },
   "outputs": [],
   "source": [
    "X = data_numeric.drop('income', axis=1)\n",
    "y = data_numeric.income\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, \n",
    "                                                    test_size=0.2, \n",
    "                                                    random_state=42)\n",
    "labels = X_train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create shared theano variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.778823Z",
     "start_time": "2018-12-28T04:43:48.174Z"
    }
   },
   "outputs": [],
   "source": [
    "X_shared = theano.shared(X_train.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define logistic model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.779736Z",
     "start_time": "2018-12-28T04:43:48.177Z"
    }
   },
   "outputs": [],
   "source": [
    "with pm.Model() as logistic_model_pred:\n",
    "    pm.glm.GLM(x=X_shared, labels=labels,\n",
    "               y=y_train, family=pm.glm.families.Binomial())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run NUTS sampler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.780651Z",
     "start_time": "2018-12-28T04:43:48.180Z"
    }
   },
   "outputs": [],
   "source": [
    "with logistic_model_pred:\n",
    "    pred_trace = pm.sample(draws=10000, \n",
    "                           tune=1000,\n",
    "                           chains=2,\n",
    "                           cores=2,\n",
    "                           init='adapt_diag')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replace shared variable with test set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then run the sampler as before, and apply the pm.sample_ppc function to the resulting trace after replacing the train with test data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.781511Z",
     "start_time": "2018-12-28T04:43:48.182Z"
    }
   },
   "outputs": [],
   "source": [
    "X_shared.set_value(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.782440Z",
     "start_time": "2018-12-28T04:43:48.184Z"
    }
   },
   "outputs": [],
   "source": [
    "ppc = pm.sample_ppc(pred_trace,\n",
    "                    model=logistic_model_pred,\n",
    "                    samples=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check AUC Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.783388Z",
     "start_time": "2018-12-28T04:43:48.186Z"
    }
   },
   "outputs": [],
   "source": [
    "y_score = np.mean(ppc['y'], axis=0)\n",
    "roc_auc_score(y_score=np.mean(ppc['y'], axis=0), \n",
    "              y_true=y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.784322Z",
     "start_time": "2018-12-28T04:43:48.188Z"
    }
   },
   "outputs": [],
   "source": [
    "def invlogit(x):\n",
    "    return np.exp(x) / (1 + np.exp(x))\n",
    "\n",
    "predictor = X_test['hours']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.785248Z",
     "start_time": "2018-12-28T04:43:48.192Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(figsize=(14, 5))\n",
    "\n",
    "β = stats.beta((ppc['y'] == 1).sum(axis=0), (ppc['y'] == 0).sum(axis=0))\n",
    "\n",
    "# estimated probability\n",
    "ax.scatter(x=predictor, y=β.mean())\n",
    "\n",
    "# error bars on the estimate\n",
    "plt.vlines(predictor, *β.interval(0.95))\n",
    "\n",
    "# actual outcomes\n",
    "ax.scatter(x=predictor, y=y_test, marker='x')\n",
    "\n",
    "# True probabilities\n",
    "x = np.linspace(predictor.min(), predictor.max())\n",
    "ax.plot(x, invlogit(x), linestyle='-')\n",
    "\n",
    "ax.set_xlabel('predictor')\n",
    "ax.set_ylabel('outcome')\n",
    "fig.tight_layout()\n",
    "# fig.savefig(fig_path / 'predictions', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MCMC Sampler Animation\n",
    "The code is based on [MCMC visualization tutorial](https://twiecki.github.io/blog/2014/01/02/visualizing-mcmc/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.786130Z",
     "start_time": "2018-12-28T04:43:48.195Z"
    }
   },
   "outputs": [],
   "source": [
    "# Number of MCMC iteration to animate.\n",
    "burnin = 1000\n",
    "samples = 1000\n",
    "\n",
    "var1 = 'sex[T. Male]'\n",
    "var1_range = (trace_df[var1].min() * .95, trace_df[var1].max() * 1.05)\n",
    "\n",
    "var2 = 'educ'\n",
    "var2_range = (trace_df[var2].min() * .95, trace_df[var2].max() * 1.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.787019Z",
     "start_time": "2018-12-28T04:43:48.197Z"
    }
   },
   "outputs": [],
   "source": [
    "Writer = animation.writers['ffmpeg']\n",
    "writer = Writer(fps=15, metadata=dict(artist='Me'), bitrate=1800)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.787936Z",
     "start_time": "2018-12-28T04:43:48.200Z"
    }
   },
   "outputs": [],
   "source": [
    "with pm.Model() as logistic_model:\n",
    "    pm.glm.GLM.from_formula(formula=full_model,\n",
    "                            data=data,\n",
    "                            family=pm.glm.families.Binomial())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NUTS samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.788809Z",
     "start_time": "2018-12-28T04:43:48.202Z"
    }
   },
   "outputs": [],
   "source": [
    "with logistic_model:\n",
    "    nuts_trace = pm.sample(draws=samples, tune=burnin,\n",
    "                      init='adapt_diag',\n",
    "                      chains=1)\n",
    "    nuts_trace = pm.trace_to_dataframe(trace)\n",
    "# trace_df.to_csv('trace.csv', index=False)\n",
    "# trace_df = pd.read_csv('trace.csv')\n",
    "print(trace_df.info())\n",
    "\n",
    "anim = animation.FuncAnimation(fig,\n",
    "                               animate,\n",
    "                               init_func=init,\n",
    "                               frames=samples,\n",
    "                               interval=5,\n",
    "                               blit=True)\n",
    "\n",
    "# save\n",
    "# anim.save(fig_path / 'nuts.mp4', writer=writer)\n",
    "\n",
    "# or display\n",
    "HTML(anim.to_html5_video())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Metropolis-Hastings samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.789781Z",
     "start_time": "2018-12-28T04:43:48.205Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "with logistic_model:\n",
    "    step = pm.Metropolis()\n",
    "    mh_trace = pm.sample(draws=samples, tune=burnin,\n",
    "                      step=step,\n",
    "                      chains=1)\n",
    "    trace_df = pm.trace_to_dataframe(mh_trace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.790863Z",
     "start_time": "2018-12-28T04:43:48.207Z"
    }
   },
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax1 = fig.add_subplot(221, xlim=var1_range, ylim=(0, samples))\n",
    "ax2 = fig.add_subplot(224, xlim=(0, samples), ylim=var2_range)\n",
    "ax3 = fig.add_subplot(223, xlim=var1_range, ylim=var2_range,\n",
    "                      xlabel=var1, ylabel=var2)\n",
    "\n",
    "fig.subplots_adjust(wspace=0.0, hspace=0.0)\n",
    "line1, = ax1.plot([], [], lw=1)\n",
    "line2, = ax2.plot([], [], lw=1)\n",
    "line3, = ax3.plot([], [], 'o', lw=2, alpha=.1)\n",
    "line4, = ax3.plot([], [], lw=1, alpha=.3)\n",
    "line5, = ax3.plot([], [], 'k', lw=1)\n",
    "line6, = ax3.plot([], [], 'k', lw=1)\n",
    "ax1.set_xticklabels([])\n",
    "ax2.set_yticklabels([])\n",
    "lines = [line1, line2, line3, line4, line5, line6]\n",
    "\n",
    "def init():\n",
    "    for line in lines:\n",
    "        line.set_data([], [])\n",
    "    return lines\n",
    "\n",
    "def animate(i):\n",
    "    trace = trace_df.iloc[:i+1]\n",
    "    idx = list(range(len(trace)))\n",
    "    line1.set_data(trace[var1].iloc[::-1], idx)\n",
    "    line2.set_data(idx, trace[var2].iloc[::-1])\n",
    "    line3.set_data(trace[var1], trace[var2])\n",
    "    line4.set_data(trace[var1], trace[var2])\n",
    "    line5.set_data([trace[var1].iloc[-1], trace[var1].iloc[-1]], [trace[var2].iloc[-1], var2_range[1]])\n",
    "    line6.set_data([trace[var1].iloc[-1], var1_range[1]], [trace[var2].iloc[-1], trace[var2].iloc[-1]])\n",
    "    return lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.791719Z",
     "start_time": "2018-12-28T04:43:48.209Z"
    }
   },
   "outputs": [],
   "source": [
    "anim = animation.FuncAnimation(fig,\n",
    "                               animate,\n",
    "                               init_func=init,\n",
    "                               frames=samples,\n",
    "                               interval=5,\n",
    "                               blit=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-28T08:12:03.792672Z",
     "start_time": "2018-12-28T04:43:48.211Z"
    }
   },
   "outputs": [],
   "source": [
    "anim.save(fig_path / 'metropolis_hastings.mp4', writer=writer)\n",
    "\n",
    "# HTML(anim.to_html5_video())"
   ]
  }
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